Lessons from Three Years in AWS
I've spent the last three years building and operating web sites with Amazon Web Services and here are a few lessons I've learned. But I first have to come clean that I'm a fan of AWS with only casual experience with other IAAS/PAAS platforms.
S3 Is Amazing. They made the right engineering choices and compromises: cheap, practically infinitely scalable, fast enough, with good availability. $0.03/GB/mo covers up for a lot of sins. Knowing it's there changes how you build systems.
IAM Machine Roles From The Start. IAM with Instance Metadata is a powerful way to manage secrets and rights. Trouble is you can't add to existing machines. Provision with machine roles in big categories (e.g. app servers, utility machines, databases) at the start, even if just placeholders.
Availability Zoness Are Only Mostly Decoupled. After the 2011 us-east-1 outage we were reassured that a coordinated outage wouldn't happen again, but it happened again just last month.
They Will Lock You In And You'll Like It. They secondary services work well, are cheap, and are handy. I'm speaking of SQS, SES, Glacier, even Elastic Transcoder. Who wants to run a durable queue again?
CloudFormation No. It's tough to get right. My objection isn't programming in YAML, I don't mind writing Ansible plays, it's the complexity/structure of CloudFormation that is impenetrable. Plus even if you get it working once, you'd never run it again on something that is running.
Boto Yes. Powerful and expressive. Don't script the CLI, use Boto. Easy as pie.
Qualify Machines Before Use. Some VMs have lousy networking, presumably due to a chatty same-host or same-rack neighbor. Test for loss and latency to other hosts you own and on EBS. (I've used home-grown scripts, don't know of a standard open-source widget, someone should write one).
VPC Yes. If you have machines talking to each other (i.e. not a lone machine doing something lonely) then put them in a VPC. It's not hard.
NAT No. You think that'll improve security, but it will just introduce SPOFS and capacity chokepoints. Give your machines publicly routable IP's and use security groups.
Network ACLs Are A Pain. Try to get as far as you can with just security groups.
You'll Peer VPC's Someday. Choose non-overlapping subnet IP ranges at the start. It's hard to change later.
Spot Instances Are Tricky. They're only For a very specific use case that likely isn't yours. Setting up a test network? You can spend the money you save by using spot on swear jar fees.
Pick a Management Toolset. Ansible, Chef, all those things aren't all that different when it comes down to it. Just don't dither back and forth. There's a little bit of extra Chef love w/ AWS but not enough to tip the scales in your decision I'd reckon.
Tech Support Is Terrible. My last little startup didn't get much out of the business level tech support we bought. We needed it so we could call in to get help when we needed it, and we used that for escalating some problems. It was nice to have a number to call when I urgently need to up a system limit, say. But debugging something real, like a networking problem? Pretty rough.
...Unless You Are Big. Stanford, on the other hand, had a named rep who was responsive and helpful. I guess she was sales, but I used her freely on support issues and she worked the backchannels for us. Presumably this is what any big/important customer would get, that's just not you, sorry.
The Real Power Is On Demand. I'm reaffirming cloud koolaid here. Running this way lets you build and run systems differently, much better. I've relied on the cloud this to bring up emergency capacity. I've used it to convert a class of machines on the fly to the double-price double-RAM tier when hitting a surprising capacity crunch. There are a whole class of problems that get much easier when you can have 2x the machines for just a little while. When someone comes to you with that cost/benefit spreadsheet arguing why you should self-host, that's when you need your file of "the cloud saved my bacon" stories at the ready.
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